International Conference on Transportation Systems Engineering and Data Mining ICTSEDM

Call For Papers

The ICTSEDM bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Data Mining , encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

Data mining for traffic flow optimization

Predictive analytics in transportation systems

Machine learning for transportation safety

Big data applications in smart transportation

Data-driven approaches to urban mobility

Sensor technologies in transportation engineering

Real-time data analysis for traffic management

Data mining for public transport efficiency

Environmental impact assessment in transportation

Data visualization techniques for transport data

Artificial intelligence in transportation systems

Data mining for infrastructure maintenance

Statistical methods in transportation research

Data mining for freight transportation optimization

Integration of IoT in transportation systems

Data-driven decision making in logistics

Trends in transportation data analytics research

Data mining for autonomous vehicles

Cybersecurity in transportation data systems

Data management for smart city transportation

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

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Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

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Hybrid Event